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• A sliver regulation strategy is proposed to balance the conduction loss and impedance matching by constructing unique particle structure for the first time. • The introduction of Ag provides a perfect conductive network for individual particles and whole structure, and gives enough space to control the stacking of particle to obtain excellent impedance matching. • The RL min and f E of H-P-Ag/CuO@CuS reached −40 dB and 8.56 GHz (2.3 mm), respectively. Excellent impedance matching and high conduction loss are important factors for the preparation of high-performance electromagnetic wave (EMW) absorbing materials, but these two properties are often contradictory. In this work, three absorbers with unique hollow structures, H-Ag/CuO@CuS, H-O-Ag/CuO@CuS, and H-P-Ag/CuO@CuS, are designed and synthesized by adopting hollow CuO@CuS with double shell as carrier and silver nitrate as the structural regulator. The more voids coming from hollow structures, window-opened structures, and stacked pores improve the impedance matching of these absorbers, and the introduction of elemental Ag effectively regulates the conduction loss. Therefore, a balance between impedance matching and conduction loss is achieved to improve the reflection loss (RL) value and broadens the absorbing band of the absorbers. In comparison to H-Ag/CuO@CuS and H O-Ag/CuO@CuS (hollow structure with open window) in which elemental Ag is uniformly dispersed in the CuO layer, H-P-Ag/CuO@CuS exhibits more excellent EMW absorption performance due to more voids and an optimized conductive network arising from Ag/CuO pieces distributed between the hollow Ag/CuO@CuS particles and Ag distributed in the CuS layer. When the thickness is 2.3 mm, H-P-Ag/CuO@CuS provides an ultra-wide electromagnetic absorption band of 8.56 GHz (9.44–18 GHz), in which the RL < –10 dB and the minimum reflection loss of –41 dB. [Display omitted] [ABSTRACT FROM AUTHOR]

In this article, the problem of decentralized full-state constrained adaptive tracking control is investigated for interconnected time delay systems with input saturation. The extreme learning machine is applied to approximate the unknown nonlinear function in the design process. By selecting the appropriate Lyapunov–Krasovskii function, the time delay interconnection term could be compensated. A unified barrier function is introduced to ensure that the constraints imposed on all states are not violated. The Nussbaum function is introduced to deal with the problem of input saturation. By applying adaptive backstepping procedures, a novel decentralized full-state constrained adaptive tracking control strategy is proposed for the considered interconnected time delay systems. In terms of Lyapunov stability theory, it is proved that all the signals of the closed-loop systems are semi-global ultimately uniformly bounded and all state variables could be constrained within the time varying asymmetric boundaries. Finally, the effectiveness of the proposed scheme is illustrated by a simulation example of a two-stage chemical reactor.

To evaluate the performance of machine learning (ML) in the diagnosis of retinopathy of prematurity (ROP) and to assess whether it can be an effective automated diagnostic tool for clinical applications.

Neutron-transmutation doping (NTD) has been demonstrated for the first time in this work for substitutional introduction of tin (Sn) shallow donors into two-dimensional (2D) layered indium selenide (InSe) to manipulate electron transfer and charge carrier dynamics. Multidisciplinary study including density functional theory, transient optical absorption, and FET devices have been carried out to reveal that the field effect electron mobility of the fabricated phototransistor is increased 100-fold due to the smaller electron effective mass and longer electron life time in the Sn-doped InSe. The responsivity of the Sn-doped InSe based phototransistor is accordingly enhanced by about 50 times, being as high as 397 A/W. The results show that NTD is a highly effective and controllable doping method, possessing good compatibility with the semiconductor manufacturing process, even after device fabrication, and can be carried out without introducing any contamination, which is radically different from traditional doping methods.

Osteoarthritis is a common chronic bone and joint disease, which is characterized by degenerative changes and destruction of articular cartilage, secondary hyperostosis. This study aimed to investigate the clinical severity and mechanism of S100A12 in patients with osteoarthritis. Serum samples were obtained from patients with osteoarthritis or normal volunteer in Minhang Branch of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai University of Traditional Chinese Medicine (Shanghai, China). C57BL/6J mice performed Resection of the medial collateral ligament and medial meniscus as mice model. MC3T3-E1 cells were induced with 100 ng of LPS as vitro model. The serum level of S100A12 was increased in patients with osteoarthritis. Similarly, S100A12 levels of serum and bone tissue from mice model of osteoarthritis were also higher than those of sham group. Over-expression of S100A12 promoted inflammation levels while down-regulation of S100A12 decreased inflammation levels in in vitro model of osteoarthritis. NLRP3 is an important target of S100A12 in pro-inflammation effects of osteoarthritis. NLRP3 was involved in the effects of S100A12 on inflammation in in vitro model of osteoarthritis. S100A12 also accelerated inflammation by NLRP3 in mice model of osteoarthritis. We conclude that serum S100A12 levels was a possible clinical severity, open inflammation of osteoarthritis model by NLRP3 and its receptors may be effective in preventing the development of osteoarthritis.